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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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NameContainsScore
tessl/pypi-markdown-it-py
v4.0.0

Python port of markdown-it providing CommonMark-compliant markdown parsing with configurable syntax and pluggable architecture

Docs

A Python-Markdown extension which provides an 'include' function

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Static memory-efficient and fast Trie-like structures for Python based on MARISA-trie C++ library.

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Animation engine for explanatory math videos with programmatic mathematical visualization capabilities

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Convert Word documents from docx to simple and clean HTML and Markdown

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Animation engine for explanatory math videos.

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Small library to dynamically create python functions.

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Python bindings for the LZ4 compression library offering high-performance lossless data compression with frame, block, and streaming format support.

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Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.

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A Python library to drive OLED matrix displays with SSD1306, SSD1322, SSD1325, SSD1327, SSD1331, SSD1351 or SH1106 chipsets using I2C/SPI communication.

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A Python library to drive MAX7219 LED matrices, WS2812 NeoPixels, and APA102 DotStar LEDs on Raspberry Pi

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Write responsive web apps in full python

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A robust implementation of concurrent.futures.ProcessPoolExecutor with reusable executors and transparent cloudpickle integration

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Python observability platform with structured logging, distributed tracing, metrics collection, and automatic instrumentation for popular frameworks and AI services.

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Developer friendly load testing framework

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Universal Python binding for the LMDB 'Lightning' Database

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The core library and runtime of LocalStack for AWS service emulation

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Non-linear least-squares minimization and curve-fitting with enhanced parameter management and confidence interval estimation

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CLI utility and Python library for interacting with Large Language Models from multiple providers including OpenAI, Anthropic, Google, and Meta plus locally installed models.

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Interface between LLMs and your data for building retrieval-augmented generation (RAG) applications

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